One embodiment of the present invention provides a method for transmitting, by a receiving terminal, a feedback signal to a transmitting terminal in a wireless communication system, the method comprising the steps of: receiving, by the receiving terminal, a reference signal from the transmitting terminal; and transmitting, by the receiving terminal, the feedback signal corresponding to the reference signal to the transmitting terminal, wherein the feedback signal is transmitted on the basis of compensation for a phase change that occurs when the reference signal is received. The receiving terminal is capable of communicating with at least one of another UE, a UE related to an autonomous driving vehicle, a base station or a network.
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5. The first user equipment of claim 4, wherein the first user equipment communicates with at least one of a mobile terminal, a network or an autonomous vehicle except the device.
This invention relates to wireless communication systems, specifically addressing challenges in device-to-device (D2D) communication and network coordination. The technology focuses on improving communication efficiency and reliability between user equipment (UE) and other entities, such as mobile terminals, networks, or autonomous vehicles, while excluding direct communication with a specific device. The system ensures seamless interaction by enabling the first UE to establish and maintain connections with multiple entities, enhancing data transfer, coordination, and synchronization. The solution is particularly useful in scenarios where direct communication with a particular device is restricted or unnecessary, optimizing resource allocation and reducing latency. The invention may involve adaptive protocols, dynamic routing, or interference management to support robust communication links. By integrating with existing wireless infrastructure, the system ensures compatibility and scalability across diverse environments, including urban, rural, and vehicular networks. The primary goal is to enhance communication flexibility and reliability while minimizing dependency on a single device, thereby improving overall system performance and user experience.
6. The first user equipment of claim 4, wherein the first user equipment implements at least one Advanced Driver Assistance System (ADAS) based on a signal for controlling a motion of the first user equipment.
This invention relates to advanced driver assistance systems (ADAS) in user equipment, specifically vehicles, to enhance safety and automation. The technology addresses the need for improved motion control in vehicles by leveraging signals that influence vehicle movement. The system integrates ADAS features that rely on these control signals to execute functions such as collision avoidance, adaptive cruise control, or lane-keeping assistance. The user equipment, which may be a vehicle, processes these signals to adjust its motion dynamically, ensuring safer and more efficient operation. The ADAS functions are implemented based on the received control signals, which may include data from sensors, external communication systems, or other onboard systems. The invention ensures that the ADAS operates in real-time, adapting to changing conditions to maintain optimal vehicle control. This approach enhances driver assistance capabilities while reducing the risk of accidents and improving overall driving efficiency. The system may also include additional features such as predictive braking or automated steering adjustments, all driven by the motion control signals. The integration of these signals into ADAS functions provides a more responsive and intelligent driving experience.
7. The first user equipment of claim 4, wherein the first user equipment receives a user's input to switch a driving mode of a device to a manual driving mode from an autonomous driving mode, and vice versa.
This invention relates to user equipment (UE) for vehicles, specifically addressing the need for seamless switching between autonomous and manual driving modes. The UE includes a control interface that allows a user to input commands to transition the vehicle's driving mode. When the user selects the manual driving mode, the UE disables autonomous driving functions and enables manual control inputs, such as steering, acceleration, and braking. Conversely, when the user selects the autonomous driving mode, the UE activates autonomous driving functions, including sensor-based navigation and decision-making, while restricting manual control inputs. The UE may also include a display to show the current driving mode and provide feedback to the user. The system ensures safe and intuitive transitions between modes, enhancing user experience and vehicle safety. The invention focuses on improving the interaction between the driver and the vehicle's control systems, particularly in scenarios where mode switching is necessary, such as during emergencies or when the driver wishes to take over control. The UE may further include safety mechanisms to prevent unintended mode changes, such as requiring confirmation or detecting driver readiness before enabling manual control. This technology aims to bridge the gap between autonomous and manual driving, ensuring smooth transitions and maintaining operational safety.
8. The first user equipment of claim 4, wherein the first user equipment self-drives based on external object information and wherein the external object information comprises at least one of information on a presence or non-presence of an object, location information of the object, distance information between the first user equipment and the object, or relative speed information between the first user equipment and the object.
A self-driving user equipment system is designed to navigate autonomously by processing external object information. The system detects and analyzes objects in the environment to determine their presence, location, distance from the equipment, and relative speed. This data is used to guide the equipment's movement, ensuring safe and efficient navigation. The system may integrate sensors such as cameras, radar, or lidar to gather real-time information about surrounding objects, including vehicles, pedestrians, or obstacles. By continuously monitoring these parameters, the equipment can adjust its path, speed, or direction to avoid collisions and optimize travel routes. The technology addresses challenges in autonomous navigation, such as dynamic environments and unpredictable object movements, by providing precise and timely data for decision-making. The system enhances safety and reliability in self-driving applications, making it suitable for vehicles, drones, or other autonomous devices.
9. The first user equipment of claim 4, wherein the first user equipment is capable of communicating with at least one of another UE, a UE related to an autonomous driving vehicle, a base station or a network.
This invention relates to wireless communication systems, specifically enhancing connectivity for user equipment (UE) in diverse environments. The problem addressed is ensuring reliable communication between UEs, including those associated with autonomous driving vehicles, base stations, and networks, to support advanced applications like vehicle-to-everything (V2X) communication. The invention describes a first UE configured to communicate with multiple entities, including other UEs, UEs linked to autonomous vehicles, base stations, and broader network infrastructure. This UE is designed to establish and maintain connections with these entities, facilitating data exchange and coordination. The communication capabilities may involve direct device-to-device (D2D) links, cellular networks, or hybrid approaches to ensure seamless interaction. The system supports dynamic switching between communication modes based on environmental conditions, network availability, or application requirements, ensuring robust connectivity for applications such as real-time traffic updates, collision avoidance, or remote vehicle control. The invention aims to improve reliability, latency, and efficiency in wireless communication networks, particularly in scenarios involving autonomous vehicles and other smart devices.
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August 12, 2019
May 7, 2024
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